Dimitrije Marković

607 total citations
27 papers, 315 citations indexed

About

Dimitrije Marković is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Dimitrije Marković has authored 27 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Dimitrije Marković's work include Neural dynamics and brain function (9 papers), Neural and Behavioral Psychology Studies (8 papers) and Decision-Making and Behavioral Economics (5 papers). Dimitrije Marković is often cited by papers focused on Neural dynamics and brain function (9 papers), Neural and Behavioral Psychology Studies (8 papers) and Decision-Making and Behavioral Economics (5 papers). Dimitrije Marković collaborates with scholars based in Germany, United Kingdom and United States. Dimitrije Marković's co-authors include Stefan J. Kiebel, Thomas Parr, Karl Friston, Claudius Gros, Christian Antfolk, Marco Controzzi, Nebojša Malešević, Christian Cipriani, Hrvoje Stojić and Knut Holthoff and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Dimitrije Marković

25 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dimitrije Marković Germany 13 217 61 40 34 31 27 315
Nigel Stepp United States 11 399 1.8× 45 0.7× 33 0.8× 32 0.9× 28 0.9× 19 506
Takuya Isomura Japan 14 361 1.7× 65 1.1× 198 5.0× 36 1.1× 11 0.4× 39 524
Simon McGregor United Kingdom 7 168 0.8× 37 0.6× 21 0.5× 7 0.2× 12 0.4× 17 265
Max Talanov Russia 7 102 0.5× 46 0.8× 123 3.1× 49 1.4× 22 0.7× 39 349
Simon Barthelmé France 12 230 1.1× 51 0.8× 37 0.9× 63 1.9× 44 1.4× 25 447
Wesley T. Alford United States 5 147 0.7× 52 0.9× 58 1.4× 9 0.3× 10 0.3× 6 247
Beren Millidge United Kingdom 10 155 0.7× 53 0.9× 21 0.5× 5 0.1× 12 0.4× 19 241
Andrew Gillies United Kingdom 13 198 0.9× 59 1.0× 210 5.3× 12 0.4× 13 0.4× 25 541
Christopher W. Lynn United States 8 102 0.5× 17 0.3× 19 0.5× 8 0.2× 22 0.7× 20 216
Wesley Clawson United States 7 235 1.1× 30 0.5× 93 2.3× 14 0.4× 6 0.2× 11 309

Countries citing papers authored by Dimitrije Marković

Since Specialization
Citations

This map shows the geographic impact of Dimitrije Marković's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dimitrije Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitrije Marković more than expected).

Fields of papers citing papers by Dimitrije Marković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dimitrije Marković. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dimitrije Marković. The network helps show where Dimitrije Marković may publish in the future.

Co-authorship network of co-authors of Dimitrije Marković

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrije Marković. A scholar is included among the top collaborators of Dimitrije Marković based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dimitrije Marković. Dimitrije Marković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Friston, Karl, Conor Heins, Tim Verbelen, et al.. (2025). From pixels to planning: scale-free active inference. PubMed. 5. 1521963–1521963. 4 indexed citations
2.
Friston, Karl, Lancelot Da Costa, Alexander Tschantz, et al.. (2024). Supervised structure learning. Biological Psychology. 193. 108891–108891. 12 indexed citations
3.
Marković, Dimitrije, Karl Friston, & Stefan J. Kiebel. (2024). Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction. IEEE Access. 12. 88231–88242.
4.
Marković, Dimitrije, et al.. (2023). Shorter planning depth and higher response noise during sequential decision-making in old age. Scientific Reports. 13(1). 7692–7692. 2 indexed citations
5.
Marković, Dimitrije, Andrea Reiter, & Stefan J. Kiebel. (2022). Revealing human sensitivity to a latent temporal structure of changes. Frontiers in Behavioral Neuroscience. 16. 962494–962494. 1 indexed citations
6.
Gros, Claudius, et al.. (2021). Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities. PLoS ONE. 16(4). e0247272–e0247272. 3 indexed citations
7.
Marković, Dimitrije, et al.. (2021). An empirical evaluation of active inference in multi-armed bandits. Neural Networks. 144. 229–246. 23 indexed citations
8.
Marković, Dimitrije, et al.. (2020). Dynamic integration of forward planning and heuristic preferences during multiple goal pursuit. PLoS Computational Biology. 16(2). e1007685–e1007685. 4 indexed citations
9.
Marković, Dimitrije, et al.. (2020). Balancing control: A Bayesian interpretation of habitual and goal-directed behavior. Journal of Mathematical Psychology. 100. 102472–102472. 15 indexed citations
10.
Marković, Dimitrije, Thomas Goschke, & Stefan J. Kiebel. (2020). Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales. Cognitive Affective & Behavioral Neuroscience. 21(3). 509–533. 12 indexed citations
11.
Marković, Dimitrije, Andrea Reiter, & Stefan J. Kiebel. (2019). Predicting change: Approximate inference under explicit representation of temporal structure in changing environments. PLoS Computational Biology. 15(1). e1006707–e1006707. 12 indexed citations
12.
Parr, Thomas, Dimitrije Marković, Stefan J. Kiebel, & Karl Friston. (2019). Neuronal message passing using Mean-field, Bethe, and Marginal approximations. Scientific Reports. 9(1). 1889–1889. 69 indexed citations
13.
Mohr, Holger, et al.. (2018). Deterministic response strategies in a trial-and-error learning task. PLoS Computational Biology. 14(11). e1006621–e1006621. 13 indexed citations
14.
Kiebel, Stefan J., et al.. (2018). Active Inference, Belief Propagation, and the Bethe Approximation. Neural Computation. 30(9). 2530–2567. 17 indexed citations
15.
Marković, Dimitrije, et al.. (2018). Context-Dependent Risk Aversion: A Model-Based Approach. Frontiers in Psychology. 9. 2053–2053. 2 indexed citations
16.
Marković, Dimitrije & Stefan J. Kiebel. (2016). Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments. Frontiers in Computational Neuroscience. 10. 33–33. 9 indexed citations
17.
Kirmse, Knut, et al.. (2016). Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference. PLoS Computational Biology. 12(2). e1004736–e1004736. 28 indexed citations
18.
Marković, Dimitrije, Jan Gläscher, Peter Bossaerts, John P. O’Doherty, & Stefan J. Kiebel. (2015). Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism. PLoS Computational Biology. 11(10). e1004558–e1004558. 11 indexed citations
19.
Marković, Dimitrije & Claudius Gros. (2010). Self-Organized Chaos through Polyhomeostatic Optimization. Physical Review Letters. 105(6). 68702–68702. 12 indexed citations
20.
Marković, Dimitrije & Claudius Gros. (2009). Vertex routing models. New Journal of Physics. 11(7). 73002–73002. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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